AI & ML

ruc-datalab Skill

Optimize an existing SKILL.md from a usage-intent description with SkillAdam. Use when a user asks to test, improve, patch, review, validate, or iteratively optimize an Agent Skill, with optional selective hunk review.

standardharness Skill

Create, improve, or test an Agent Skill (a SKILL.md playbook). Use when the user wants to capture a repeatable workflow as a skill, says "turn this into a skill", or asks how skills are written.

taishi-i Bundle

Search all Japanese NLP resources (libraries, models, datasets, tutorials, dictionaries, Hugging Face). Accepts keywords or natural language questions in any language. Use whenever the user asks which Japanese NLP resource to use, or wants to find one: tokenizers / morphological analyzers, BERT or LLM models, embeddings, NER, text classification, datasets / corpora, dictionaries, tutorials, or Hugging Face models. Trigger phrases include '日本語の形態素解析ライブラリ', 'おすすめの日本語tokenizer', '日本語BERTモデル', '日本語の感情分析データセット', '日本語LLM 一覧', 'which Japanese embedding model', 'Japanese NER library'.

taishi-i Bundle

Compare several Japanese NLP libraries, models, or datasets for a keyword (a specific tool name, or a function/task like '形態素解析') across a handful of criteria chosen for that comparison, rendered as a ○/△/✕ table. Use when the user wants a side-by-side comparison of multiple Japanese NLP tools/libraries/datasets, not just the single best one. Trigger phrases include 'X と Y と Z を比較して', '形態素解析ライブラリを比較', 'MeCab と Sudachi どっちがいい', 'どのツールを使うべき', 'compare japanese tokenizers', 'mecab vs sudachi vs janome', 'which embedding model should I use', '日本語NERライブラリの比較表', 'pros and cons of japanese OCR tools'. For a single ranked list use search; for alternatives to one specific tool (or contribution candidates) without a multi-axis table, use discover.

taishi-i Bundle

Given a Japanese NLP GitHub repo/model/dataset (URL / owner/repo / tool name) OR a topic, find what's already in awesome-japanese-nlp-resources and discover related resources NOT yet listed (contribution candidates). Mines the bundled dataset, then expands via web research across GitHub and Hugging Face. Use when the user names a SPECIFIC repository, model, or tool and wants alternatives/equivalents, OR wants to discover Japanese NLP resources for a topic that are NOT yet in the list, OR wants to prepare a contribution. Trigger phrases include 'mecabに似たツール', 'fugashiの代替', 'alternatives to fugashi', 'repos like manga-ocr', 'what else is like sudachi', 'リストに無い新しい日本語NLP', 'awesome-japanese-nlpに追加できそうな', '最近公開された日本語NLPツール', 'find unlisted Japanese NLP repos', 'new Japanese models on Hugging Face', 'contribute a new resource'. For a simple lookup of what already exists, use the search skill instead.

taishi-i Bundle

Analyze current trends and challenges in Japanese NLP for a topic. Surveys the existing awesome-japanese-nlp-resources dataset and augments it with up-to-the-minute web research to produce a combined trend + issue report. Use only when the user explicitly wants a trend/landscape report, a challenges/limitations report, or a general research overview of a Japanese NLP topic (this combines the bundled dataset with live web research). Trigger phrases include '日本語LLMの最新トレンド', '〜の動向をまとめて', '最近の日本語NLPの流れ', '日本語LLMの課題', '〜の問題点・限界', '未解決の論点', 'trend report on Japanese embeddings', 'latest Japanese speech models', 'challenges in Japanese NER', 'limitations of Japanese embeddings'. For a simple lookup use the search skill; this one runs web research.

wilswu99 Skill

Rigorously solve a hard, precisely stated math problem end-to-end — proof, disproof, verified counterexample, exact computation, explicit construction, or classification — via aggressive multi-agent search with adversarial auditing. Use whenever the user poses a serious math problem to solve, prove, or refute (research-level or competition-hard). Not for routine calculations, quick estimates, or informal math discussion.

selat-ai Skill

Read-only Twitter/X research on SELAT — profiles, recent tweets, mentions, followers, tweet details/replies/retweeters, topic search, and trends. Use when asked "who is @X on Twitter", "show me X's recent tweets", "who's mentioning X", "how did this tweet do / who replied / who retweeted", "search X for <topic>", or "is <topic> trending". A curated menu of 9 SELAT-native reads — the agent runs only what the question needs. Pays per call in USDC from the user's own self-custody Circle Agent Wallet; no API keys, no signups. Dry-run first to see live prices.

selat-ai Skill

Grounded web search & research via Perplexity, keyless and pay-per-call over SELAT. Use when asked to "search the web for <topic>", "what's the latest on <topic>", "research <topic> with sources", "do a deep-research report on <X>", or "give me a grounded answer with citations". Runs Perplexity's cheap web Search by default, and can escalate to a one-shot Agent answer or an async deep-research report when a plain search isn't enough. Paid per call in USDC (on Base) from the user's own self-custody Circle Agent Wallet — no Perplexity API key, no signup. Dry-run first to see live prices; every price the CLI shows already includes SELAT's ~5% routing markup.

selat-ai Skill

Directional research brief on a US stock for agents on a MetaMask Agent Wallet — use when asked "is NVDA bullish or bearish right now", "directional read on AAPL", "is MAG7 sentiment turning", "what do the chart, news, and social say about AMD", "signal brief on SPY". Nine paid reads — quote, daily chart, RSI, MACD, news sentiment, earnings, Twitter/X chatter, Reddit threads, macro regime — fused into a bullish / bearish / mixed / insufficient-data brief with confidence, catalysts, and invalidation risks. Research only: never order execution, never financial advice. Pays in USDC from the user's own self-custodial MetaMask Agent Wallet; every signature stays in the wallet's mm CLI; no API keys. A run is nine purchases, so always dry-run first to see the live quoted total.

activeing123 Skill

Diagnose and fix broken MCP servers in mcptoon — doctor, health, per-server probes, and the common failure playbook.

activeing123 Skill

Add or edit an MCP server entry in mcptoon's config correctly — stdio/streamable-http/sse shapes, command rules, placeholders, and validation.

jazzenchen Skill

Initialize and wait for VibeAround subagents in a multi-agent coding turn. Use when the user's message starts with "subagent=", especially "subagent=parallel".

k1064190 Skill

Delegate tasks to Gemini CLI running as a subagent. Use this skill whenever the user says "use gemini", "ask gemini", "run this with gemini", "delegate to gemini", wants a second opinion from a different AI model, needs parallel AI execution, or wants to offload a long-running agentic task to run in the background while Claude continues working. Also trigger when the user wants to leverage Gemini's built-in Google Search, wants to compare results from two different AI models, or when the codebase or files are too large for Claude's context window and Gemini's massive context is needed for full codebase analysis.

k1064190 Skill

Delegate tasks to Google Antigravity CLI (`agy`) running as a subagent. Use this skill whenever the user says "use antigravity", "ask agy", "run this with antigravity", "delegate to agy", wants a second opinion from a different AI model, needs parallel AI execution, or wants to offload an agentic task to a separate process. Antigravity CLI is Google's successor to the Gemini CLI (Gemini CLI's free tier was retired 2026-06-18); it exposes Gemini 3.x, Claude Sonnet/Opus 4.6, and GPT-OSS models behind the single `agy` command. Also trigger when the codebase or files are too large for Claude's context window and Antigravity's large context is needed for full codebase analysis.

nguyenvanchiens Skill

Standard end-to-end workflow for shipping a feature/bugfix from a Jira task to a merged GitLab MR. Use when the user references a Jira task ID (WRA-XX, etc.), asks to "start a task", "create branch from task", "review the last change" / "review change" (optionally with "simplify" keyword, e.g. "review change simplify", to auto-clean before review), "review the whole branch", "commit and push", "create a merge request", "review the MR !N", "post review result to the MR", "fix all issues", or "merge the request". Covers branch naming, commit format, MR creation, micro + macro code review (3-agent parallel), fix loop, and merge.

shas9 Skill

ONLY invoke this skill when the user's message literally begins with the trigger "PE:" (e.g. "PE: go") or is exactly the command "/claude-prompt-execute". Do NOT invoke based on general requests to "run this" or "do it" that don't use the literal trigger. If the literal trigger is not present at the start of the user's message, this skill must not activate.

shas9 Bundle

ONLY invoke this skill when the user's message literally begins with the trigger "PA:" (e.g. "PA: refactor the auth module") or is exactly the command "/claude-prompt-architect" (optionally followed by more text on the same line). Do NOT invoke based on similar-sounding requests such as "write me a prompt for X", "help me prompt Claude to do Y", or "can you design a prompt" — those are NOT triggers on their own. If the literal trigger text is not present at the start of the user's message, this skill must not activate, even if the task looks like prompt design.

tw93 Skill

Prepare, validate, and publish a Pake release. Not for version bumps without release intent.

aojili Bundle

Clarify vague ideas through dialogue, ask for explicit approval before multi-agent research fan-out, automatically challenge assumptions with skeptic loops after synthesis, and produce feasibility, value, and implementation conclusions. Use when the user has an idea, proposal, product concept, research direction, project plan, or architecture thought and wants to know whether it is reasonable, valuable, differentiated, or how to execute it.

oocx Skill

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paulnsorensen Bundle

Staff Engineer code review orchestrator. Runs nine orthogonal LLM dimensions over a diff and emits a stake-weighted report plus hash-anchored sidecar JSON.

paulnsorensen Bundle

Finish what /age started. Loads both sidecars (fixes + suggestions), renders a unified stake table, gates on user approval, routes each approved item to the right handler (/cleanup or a cook sub-agent), then re-ages the touched paths up to a hard 3-turn cap.

delorenj Bundle

Develop pjangler itself: author Commands (atomic file/dir operations), Recipes (composed subsystem bootstrappers), and register them in the CLI. Covers the Command/Recipe architecture, project registry implementation, CommonProject copier implementation, and pjangler dist/build/regression workflows. Use when creating a pjangler Command or Recipe, registering a recipe, adding subsystem bootstrapping, changing templates/commonproject or templates/hermes-agent, debugging pjangler tests, or changing the CLI/MCP server. Triggers: pjangler command, pjangler recipe, add subsystem, bootstrap, project scaffolding, CommonProject template, hermes-agent template, pjangler CLI, pjangler MCP. Do NOT use for: USING pjangler to create a new project (→ projects); generic agent-config fan-out engine mechanics (→ agent-config-fanout); versioning many files in parity (→ mise-versioning); event schema naming (→ bloodbank-integration).

jurybu Bundle

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

soden46 Bundle

Framework-agnostic project memory infrastructure for engineering tasks. Use for sparse recall, stale-memory handling, secret-safe durable checkpoints, and MCP/CLI fallback without consuming specialist slots.

lovstudio Bundle

为现有或新 App 快速初始化可上线的 AI 功能，可选择本地 Agent Client、MaaS 中转渠道、模型偏好和配套 UI。用户说集成 AI、给 App 加聊天/生成能力、Agent Client、MaaS 或模型选择时使用。

lovstudio Bundle

Use when 用户要将项目经验、故障复盘和已验证流程蒸馏为可创建的 Agent Skill 蓝图，明确用户结果、触发边界、私有信息边界与验收方式；触发词包括“把经验蒸馏成 skill”与 “distill experience into a skill”。

majiayu000 Bundle

跨语言代码库健康治理与自动优化系统。基于学术研究和实战经验，系统性检测 LLM 生成代码的结构性缺陷。完整流程：SCAN → DIAGNOSE → FIX → HARDEN。适用于任何语言的项目。

openjiuwen-ai Skill

实现阶段主操作手册 — 指导 agent 完成改码与局部验证，并把提交留给独立 commit phase

atman-33 Bundle

Analyzes git changes, drafts localized PR titles and bodies, and assists with creating or updating GitHub pull requests for the active agent-harness project repository. Use when working from agent-harness and the user wants to create a PR, review branch changes, draft or update a PR description, or check whether a branch is ready for review.

ccnuzw Skill

Seedance 提示词审核技能。用于审核阶段三分镜师产出的 Seedance 2.0 动态提示词，通过逐条比对、脑内预演和评分制确保规范性、运镜合理性、叙事连贯性。

u9401066 Skill

Complete reference for all 44 PubMed Search MCP tools. Triggers: 工具列表, all tools, 完整功能, tool reference, 有哪些工具

dokhacgiakhoa Bundle

🤖 AI Engineer Master Kit

dokhacgiakhoa Bundle

Comprehensive Test-Driven Development (TDD) cycle. Enforces strict Red-Green-Refactor discipline, test architecture design, and multi-agent testing coordination.

matrixfounder Bundle

Use when creating new Agent Skills, upgrading existing skills, running evals to test a skill, benchmarking skill performance, or optimizing a skill's description for better triggering accuracy. Guidelines for Gold Standard skill structures.